Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, ...

Marketers are leaning on AI to meet rising demands, but while productivity climbs, consumer trust is sinking — and that gap could be marketing’s biggest risk. The post Marketers turn to AI for speed, ...

Despite the global acceleration in digital transformations across organizations in various sectors, many banks and bigger ...

近日，青岛科技大学信息科学技术学院巩敦卫教授与中国矿业大学左明成副教授和张勇教授、澳门城市大学郭永德副教授等合作，在约束多目标优化问题智能求解方向取得研究进展，相关成果以“Constrained Multi-objective ...

KILLEEN, Texas — Killeen ISD is beginning "District Optimization," a strategic planning process meant to improve student success, the district has announced. According to Killeen ISD, District ...

An AI-driven torque allocation system for EVs on rough terrain using IMU data, deep learning, and real-time motor control via Raspberry Pi with Gazebo simulation and Flask-based dashboard.

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

Abstract: Constrained optimization problems are pervasive in various fields, and while conventional techniques offer solutions, they often struggle with scalability. Leveraging the power of deep ...

Government regulations and financial constraints challenge companies’ carbon reduction efforts. This study examines a supply chain comprising a retailer and a capital-constrained manufacturer ...